Measurement of Unemployment in India
Duration: 2 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- General Intelligence & Reasoning: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Data Sufficiency, Number System, HCF LCM, Selection Decision Table (Decision Making), Logical Sequence Of Words, Directions (Direction Test), Ranking, Order and Sequence, Syllogisms, Venn Diagram, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Puzzle Solving (Puzzles), Data Arrangement, Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock, Arithmetic, Verbal Analogy (Word Based Analogy), Numerical Reasoning, Patterns in Two-Dimensional Figures, Assembling and Grouping of Shapes, Transformation of Shapes, Three-Dimensional Patterns and Visualization, Coding and Decoding, Cubes and Dice, Series Completion, Alphabet and Word Tests, Analogy and Classification, Vocabulary, Mathematical Operations, Direction Sense, Number System, Averages, Mixtures and Alligation, Percentages, Logical Deduction and Induction, Simplification and Approximation, Algebra, Sequences and Series, Powers, Surds and Logarithms, Constraint Puzzles, Critical Reasoning, Order, Ranking and Sequence, Syllogisms and Venn Diagrams, Reading Comprehension, Speed, Time and Distance, Traverse Surveying, Clocks and Calendars, Permutations and Combinations, Narrative Sequencing, Project Monitoring, Resources and Safety, Profit, Loss and Discount, Ratio and Proportion, Time and Work, Mensuration, Data Interpretation, Articles and Determiners, Sentence Completion, Data Sufficiency, Blood Relations, Simple Interest and Compound Interest, Mixture and Alligation, Sequence and Series (Series), Speed Time and Distance, Algebra, Profit and Loss, Seating Arrangements, Permutation and Combination, Combinatorics
- General Awareness: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, Environment, Static General Knowledge, GK- Current Affairs
- Full-Length Mock Tests:
- Sectional Tests:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video segment introduces the measurement of unemployment in India, focusing on official and private data sources. The instructor presents a comparative table outlining methodologies including the National Sample Survey (NSS), Periodic Labour Force Survey (PLFS), Census of India, and Centre for Monitoring Indian Economy (CMIE). Key statistical findings are highlighted, such as the unemployment rate of approximately 6-7% for the year 2020-21. The lecture distinguishes between urban and rural unemployment, noting that urban rates are higher at around 8-9%. A critical limitation discussed is the inability of official data to capture disguised unemployment prevalent in agriculture and informal sectors. Visual cues like red underlines emphasize specific data points, while checkmarks indicate standard methods.
Chapters
0:00 – 1:52 00:00-01:52
The instructor displays a slide titled 'IV. Measurement of Unemployment in India' featuring a comparative table. The table lists National Sample Survey (NSS), Periodic Labour Force Survey (PLFS), Census of India, and CMIE. Red underlines highlight the NSS Employment-Unemployment Surveys (EUS) and PLFS annual data. The instructor points out that the unemployment rate for 2020-21 is approximately 6-7%, with urban unemployment being higher at roughly 8-9%. A note at the bottom clarifies that disguised unemployment in agriculture is often missed by official data. Checkmarks appear next to standard sources, while a cross mark on CMIE suggests specific exclusion or critique in this context.
The lecture provides a structured overview of how unemployment is quantified in India, distinguishing between government surveys and private estimates. The core concept revolves around the reliability of data sources like NSS and PLFS versus CMIE. Students should note that while official surveys provide a baseline, they fail to account for disguised unemployment in the informal sector. The visual emphasis on urban versus rural disparities highlights regional economic variations. Understanding these measurement limitations is crucial for interpreting labor market statistics accurately.

